{"id":"W4407753244","doi":"10.3233/shti250021","title":"Enablers of Patient Access to Healthcare Data: International Comparisons","year":2025,"lang":"en","type":"article","venue":"Studies in health technology and informatics","topic":"Healthcare Systems and Reforms","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute for Work & Health; University of Toronto","funders":"","keywords":"Health care; Data access; Key (lock); Health records; Knowledge management; Business; Medicine; Medical emergency; Nursing; Computer science; Computer security; Political science; Database","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01126317,0.0002224151,0.0003029679,0.003491841,0.0005682246,0.00340544,0.0003755578,0.0004086995,0.00501953],"category_scores_gemma":[0.03434014,0.0000976123,0.0007343157,0.004145013,0.001923133,0.004824055,0.004115198,0.0009303754,0.0003108232],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008815738,"about_ca_system_score_gemma":0.0006621756,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002142968,"about_ca_topic_score_gemma":0.001740303,"domain_scores_codex":[0.9934937,0.003719298,0.0006019952,0.0004643101,0.0009532605,0.0007674327],"domain_scores_gemma":[0.9738115,0.01211994,0.006803799,0.00197442,0.004200627,0.001089726],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001628671,0.0002875926,0.5973719,0.0005671032,0.0008224433,0.0004955235,0.01621198,0.002955956,0.001063333,0.2005218,0.004548695,0.1735249],"study_design_scores_gemma":[0.00008125242,0.0005619011,0.9067148,0.0005131214,0.0003814245,0.0007419834,0.03067401,0.002061572,0.001173504,0.03472316,0.02229961,0.00007376221],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8538157,0.004921832,0.004176707,0.005347094,0.0001495857,0.00009201351,0.001499108,0.00002413714,0.1299738],"genre_scores_gemma":[0.9985189,0.0004100463,0.0003757899,0.00006029932,0.00002276531,0.00002014843,0.0002352754,0.000006193297,0.0003505544],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01126317,"threshold_uncertainty_score":0.05956602,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1640577925725898,"score_gpt":0.4102980151962578,"score_spread":0.246240222623668,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}